OR7C1

RNA expression — cross-omics
Cross-omicsRNA → FUNCTION-RNACell-linePairwise association · TCGA cohorts

Across TCGA cell cohorts, OR7C1 RNA expression is significantly associated with the go_rna of many other GO terms, with 1,805 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible OR7C1-associated GO terms across cancer lineages are Response to dehydroepiandrosterone, Negative regulation of RNA splicing, and Negative regulation of mRNA splicing, via spliceosome. Each is linked with OR7C1 in more than 8 cancer types. Because this analysis shows association rather than direction, both OR7C1-to-partner and partner-to-OR7C1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Response to dehydroepiandrosterone grouped by OR7C1-low versus OR7C1-high in OVARY.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (OR7C1→partner) and Y-score (partner→OR7C1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner GO termX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
OVARYResponse to dehydroepiandrosterone →+0.155+0.067.001.00539
BLOOD_LymphomaNegative regulation of RNA splicing →+0.100+0.099<.001<.00138
PANCREASNegative regulation of mRNA splicing, via spliceosome →+0.104+0.084<.001<.00138
BLOOD_LymphomaNegative regulation of mRNA processing →+0.104+0.103<.001<.00138
LARGE_INTESTINEViral gene expression →+0.061+0.085<.001<.00138
LARGE_INTESTINERegulation of RNA polymerase II transcription preinitiation complex assembly →+0.175+0.123<.001<.00137
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,805 associations by consensus.

Response to dehydroepiandrosterone by OR7C1 expression — OVARY

Box plot of Response to dehydroepiandrosterone in OR7C1-low vs OR7C1-high samples in OVARY.

Explore this box plot interactively →

Exploration